CertNexus AIP-210 : CertNexus Certified Artificial Intelligence Practitioner (CAIP)

  • Exam Code: AIP-210
  • Exam Name: CertNexus Certified Artificial Intelligence Practitioner (CAIP)
  • Updated: Oct 12, 2026
  • Q & A: 95 Questions and Answers

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CertNexus AIP-210 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Train, validate, and test data subsets
  • Training and Tuning ML Systems and Models
Topic 2
  • Recognize relative impact of data quality and size to algorithms
  • Engineering Features for Machine Learning
Topic 3
  • Identify potential ethical concerns
  • Analyze machine learning system use cases
Topic 4
  • Transform numerical and categorical data
  • Address business risks, ethical concerns, and related concepts in operationalizing the model
Topic 5
  • Address business risks, ethical concerns, and related concepts in training and tuning
  • Work with textual, numerical, audio, or video data formats
Topic 6
  • Design machine and deep learning models
  • Explain data collection
  • transformation process in ML workflow

Reference: https://certnexus.com/certified-artificial-intelligence-practitioner-caip/

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CertNexus Certified Artificial Intelligence Practitioner (CAIP) Sample Questions:

Question #1

Which of the following is the definition of accuracy?

  • A. (True Positives + False Positives) / Total Predictions
  • B. True Positives / (True Positives + False Negatives)
  • C. (True Positives + True Negatives) / Total Predictions
  • D. True Positives / (True Positives + False Positives)
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

We are using the k-nearest neighbors algorithm to classify the new data points. The features are on different scales.
Which method can help us to solve this problem?

  • A. Square-root transformation
  • B. Standardization
  • C. Log transformation
  • D. Normalization
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

Which of the following tests should be performed at the production level before deploying a newly retrained model?

  • A. Unit test
  • B. A/Btest
  • C. Performance test
  • D. Security test
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

Given a feature set with rows that contain missing continuous values, and assuming the data is normally distributed, what is the best way to fill in these missing features?

  • A. Delete entire columns that contain any missing features.
  • B. Fill in missing features with random values for that feature in the training set.
  • C. Delete entire rows that contain any missing features.
  • D. Fill in missing features with the average of observed values for that feature in the entire dataset.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #5

Which of the following describes a typical use case of video tracking?

  • A. Medical diagnosis
  • B. Video composition
  • C. Traffic monitoring
  • D. Augmented dreaming
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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